Computer Vision
Computer vision technology enables the interpretation and analysis of visual information from the world, including images and video. Explore real-world applications, use cases, model comparisons, training data requirements, and challenges, and learn how visual data processing can support automation, monitoring, and operational efficiency.
7 Steps to Obtain Computer Vision Training Data in 2025
Computer vision (CV) technology is advancing rapidly in various industries. As demand for computer vision systems rises, so does the need for well-trained models. These models require large, high-quality, accurately labeled datasets, which can be costly and time-consuming to collect.
Top 8 Computer Vision Construction Use Cases & Examples
Adopting AI technologies, such as computer vision, is accelerating in the construction industry, offering solutions for safety, efficiency, and quality control. However, challenges like an aging workforce and high-risk tasks continue to hinder widespread implementation. Explore the top 8 use cases with real-life examples where computer vision construction technologies already impact construction sites.
Top 5 Computer Vision Security Applications & Examples
As global crime rates rise, the demand for scalable and efficient security solutions is growing. The market is projected to reach $39 billion by 2029, growing at a CAGR of approximately 10% from 2025 to 2029. Conventional manual surveillance is limited by human capacity; personnel can only monitor footage for short periods with inconsistent accuracy.
Top 5 Computer Vision Automotive Use Cases & Examples
Automotive firms face rising safety, cost, and efficiency pressures. Computer vision helps address these challenges by enabling automation, quality control, and accident prevention. Explore the top 5 computer vision automotive use cases that business leaders can leverage to stay competitive.
Top 15 Computer Vision Use Cases with Examples in 2025
With the global computer vision market projected to reach US$30 billion in 2025 (see the graph below), business leaders face a critical challenge: identifying where it delivers ROI, from healthcare diagnostics to automated logistics.
10 Computer Vision Agriculture Use Cases & Examples ['25]
Labor shortages, resource inefficiencies, and environmental pressures increasingly challenge agriculture. Climate change adds to this burden through extreme weather, water scarcity, and rising pest threats, further straining productivity and sustainability. Computer vision offers targeted solutions by enabling automation and data-driven insights across critical farming operations.
Top 7 Computer Vision Challenges & Solutions in 2025
Computer vision (CV) technology is revolutionizing many industries, including healthcare, retail, automotive, etc. As more companies invest in computer vision solutions, the global market will multiply 9 times by 2026 to $2.4 billion.
Synthetic Data for Computer Vision: Benefits & Examples
Advancements in deep learning techniques have paved the way for successful computer vision and image recognition applications in fields such as automotive, healthcare, and security. Computers that can derive meaningful information from visual data enable numerous applications such as self-driving cars and highly accurate detection of diseases.